The first is an end-to-end machine learning case study: building a model, containerizing it, and then deploying it with Azure Model Management + calling it as a REST API. The second is an exploration of the mathematics required to implement a neural network. The final example is two quick demos for Build 2018 - one on Azure Cognitive Search, one on Azure DataBricks.

I was also selected to serve as a mentor for the Chevron Data Science Development Program - an elite group of prospective data scientists, mostly coming from the internal research group. Almost all of my pupils had PhDs - which was a tad bit surreal, but very fun!